A Comprehensive Survey on Graph Neural Networks

3 January 2019

Philip S. Yu

Papers citing "A Comprehensive Survey on Graph Neural Networks"

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Title
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings P. Elinas Edwin V. Bonilla Louis C. Tiao BDL GNN 11 10 0 05 Jun 2019
Graph WaveNet for Deep Spatial-Temporal Graph Modeling Zonghan Wu Shirui Pan Guodong Long Jing Jiang Chengqi Zhang GNN AI4TS 11 1,629 0 31 May 2019
Quantifying the Alignment of Graph and Features in Deep Learning Yifan Qian P. Expert Tom Rieu P. Panzarasa Mauricio Barahona 15 17 0 30 May 2019
On the equivalence between graph isomorphism testing and function approximation with GNNs Zhengdao Chen Soledad Villar Lei Chen Joan Bruna 12 254 0 29 May 2019
DDP-GCN: Multi-Graph Convolutional Network for Spatiotemporal Traffic Forecasting Kyungeun Lee Wonjong Rhee AI4TS GNN 8 84 0 29 May 2019
EEG-based Emotional Video Classification via Learning Connectivity Structure Soobeom Jang Seong-Eun Moon Jong-Seok Lee 16 14 0 28 May 2019
Towards Interpretable Sparse Graph Representation Learning with Laplacian Pooling Emmanuel Noutahi Dominique Beaini Julien Horwood Sébastien Giguère Prudencio Tossou AI4CE 6 34 0 28 May 2019
Graph Filtration Learning Christoph Hofer Florian Graf Bastian Alexander Rieck Marc Niethammer Roland Kwitt 6 82 0 27 May 2019
Graph Neural Networks Exponentially Lose Expressive Power for Node Classification Kenta Oono Taiji Suzuki GNN 19 27 0 27 May 2019
Semi-Supervised Classification on Non-Sparse Graphs Using Low-Rank Graph Convolutional Networks Dominik Alfke Martin Stoll GNN 16 3 0 24 May 2019
Power up! Robust Graph Convolutional Network via Graph Powering Ming Jin Heng Chang Wenwu Zhu Somayeh Sojoudi AAML GNN 6 25 0 24 May 2019
Graph Representations for Higher-Order Logic and Theorem Proving Aditya Sanjay Paliwal Sarah M. Loos M. Rabe Kshitij Bansal Christian Szegedy AI4CE NoLa 14 87 0 24 May 2019
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning Fan Zhou Chengtai Cao Kunpeng Zhang Goce Trajcevski Ting Zhong Ji Geng 6 185 0 23 May 2019
Gravity-Inspired Graph Autoencoders for Directed Link Prediction Guillaume Salha-Galvan Stratis Limnios Romain Hennequin Viet-Anh Tran Michalis Vazirgiannis GNN CML 23 95 0 23 May 2019
Function Space Pooling For Graph Convolutional Networks P. Corcoran GNN 13 3 0 15 May 2019
ActiveHNE: Active Heterogeneous Network Embedding Xia Chen Guoxian Yu Jun Wang C. Domeniconi Z. Li Xiangliang Zhang 6 80 0 14 May 2019
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph Lu Liu Tianyi Zhou Guodong Long Jing Jiang Lina Yao Chengqi Zhang 9 70 0 10 May 2019
Deep Closest Point: Learning Representations for Point Cloud Registration Yue Wang Justin Solomon 3DPC 20 721 0 08 May 2019
Graph Convolutional Networks with EigenPooling Yao Ma Suhang Wang Charu C. Aggarwal Jiliang Tang GNN 21 304 0 30 Apr 2019
Graph Kernels: A Survey Giannis Nikolentzos Giannis Siglidis Michalis Vazirgiannis 14 117 0 27 Apr 2019
Inductive Matrix Completion Based on Graph Neural Networks Muhan Zhang Yixin Chen 7 227 0 26 Apr 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs Muhan Zhang Shali Jiang Zhicheng Cui Roman Garnett Yixin Chen GNN BDL CML 6 161 0 24 Apr 2019
Graph Element Networks: adaptive, structured computation and memory Ferran Alet Adarsh K. Jeewajee Maria Bauzá Alberto Rodriguez Tomas Lozano-Perez L. Kaelbling AI4CE GNN 9 70 0 18 Apr 2019
DeepGCNs: Can GCNs Go as Deep as CNNs? G. Li Matthias Muller Ali K. Thabet Bernard Ghanem 3DPC GNN 16 1,305 0 07 Apr 2019
Feature-Based Interpolation and Geodesics in the Latent Spaces of Generative Models Lukasz Struski M. Sadowski Tomasz Danel Jacek Tabor Igor T. Podolak DiffM 6 7 0 06 Apr 2019
DAGCN: Dual Attention Graph Convolutional Networks Fengwen Chen Shirui Pan Jing Jiang Huan Huo Guodong Long GNN 9 49 0 04 Apr 2019
MedGCN: Medication recommendation and lab test imputation via graph convolutional networks Chengsheng Mao Liang Yao Yuan Luo GNN 11 48 0 31 Mar 2019
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools R. Mayer Hans-Arno Jacobsen GNN 11 185 0 27 Mar 2019
Interoperability and machine-to-machine translation model with mappings to machine learning tasks Jacob Nilsson Fredrik Sandin J. Delsing AI4CE 23 18 0 26 Mar 2019
Tiered Latent Representations and Latent Spaces for Molecular Graphs Daniel T. Chang AI4CE BDL 18 7 0 21 Mar 2019
A Comparative Study for Unsupervised Network Representation Learning Megha Khosla Vinay Setty Avishek Anand SSL 10 54 0 19 Mar 2019
Multi-Hot Compact Network Embedding Chaozhuo Li Senzhang Wang Philip S. Yu Zhoujun Li 9 8 0 07 Mar 2019
PDP: A General Neural Framework for Learning Constraint Satisfaction Solvers Saeed Amizadeh Sergiy Matusevych Markus Weimer AI4CE 20 20 0 05 Mar 2019
A Degeneracy Framework for Scalable Graph Autoencoders Guillaume Salha-Galvan Romain Hennequin Viet-Anh Tran Michalis Vazirgiannis GNN 17 36 0 23 Feb 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 9 2,706 0 19 Feb 2019
Grids versus Graphs: Partitioning Space for Improved Taxi Demand-Supply Forecasts Neema Davis G. Raina Krishna Jagannathan AI4TS 17 22 0 18 Feb 2019
Probabilistic Generative Deep Learning for Molecular Design Daniel T. Chang BDL AI4CE 28 7 0 11 Feb 2019
Knowledge-Based Regularization in Generative Modeling Naoya Takeishi Yoshinobu Kawahara GAN 14 0 0 06 Feb 2019
Graph Warp Module: an Auxiliary Module for Boosting the Power of Graph Neural Networks in Molecular Graph Analysis Katsuhiko Ishiguro S. Maeda Masanori Koyama GNN 19 32 0 04 Feb 2019
Gaussian Conditional Random Fields for Classification Andrija Petrović Mladen Nikolic M. Jovanović Boris Delibasic BDL 6 9 0 31 Jan 2019
On the Transferability of Spectral Graph Filters Ron Levie Elvin Isufi Gitta Kutyniok 13 62 0 29 Jan 2019
Learning Graph Embedding with Adversarial Training Methods Shirui Pan Ruiqi Hu S. Fung Guodong Long Jing Jiang Chengqi Zhang GNN GAN 14 280 0 04 Jan 2019
A General Deep Learning Framework for Network Reconstruction and Dynamics Learning Zhang Zhang Yi Zhao Jing Liu Shuo Wang Ruyi Tao Ruyue Xin Jiang Zhang AI4CE 26 54 0 30 Dec 2018
Adversarial Attack and Defense on Graph Data: A Survey Lichao Sun Yingtong Dou Carl Yang Ji Wang Yixin Liu Philip S. Yu Lifang He B. Li GNN AAML 8 225 0 26 Dec 2018
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 21 4,526 0 20 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 15 1,193 0 11 Dec 2018
Interpretable Neuron Structuring with Graph Spectral Regularization Alexander Tong David van Dijk Jay S. Stanley Matthew Amodio Kristina M. Yim R. Muhle J. Noonan Guy Wolf Smita Krishnaswamy 11 6 0 30 Sep 2018
Deep Learning for Generic Object Detection: A Survey Li Liu Wanli Ouyang Xiaogang Wang Paul Fieguth Jie Chen Xinwang Liu M. Pietikäinen ObjD VLM OOD 14 2,190 0 06 Sep 2018
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules Shengchao Liu M. F. Demirel Yingyu Liang GNN NAI 6 189 0 24 Jun 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 181 878 0 07 Jun 2018